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add-skill添加技能

Agent Skill

add-skill 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

336

周安装

14

GitHub Stars

175

下载量

112
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:add-skill(添加技能)
来源仓库:https://github.com/elithrar/dotfiles
仓库路径:skills/add-skill
安装命令:
npx skills add https://github.com/elithrar/dotfiles --skill add-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/elithrar/dotfiles --skill add-skill

简介

add-skill 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理时使用。
  • 可通过 npx skills add 命令从指定 GitHub 仓库安装,建议确认权限和维护状态后再使用。
  • 使用前需检查是否会触发联网、命令执行或文件读写操作,确保符合项目安全规范。
  • add-skill 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Creating Agent Skills

Skills extend agent capabilities with domain-specific knowledge. Use skills for procedural knowledge the agent lacks—not for concepts it already understands.

If guidance is project-specific or one-off, use INSTRUCTIONS.md or inline context instead.

Structure

Required Frontmatter

Every SKILL.md must start with YAML frontmatter on line 1:

---
name: my-skill-name
description: What this skill does and when to use it. Third-person.
---

Field requirements:

  • name: lowercase, hyphens only, max 64 chars, no reserved words ("anthropic", "claude")
  • description: max 1024 chars, specific triggers + capabilities

File Organization

skill-name/
├── SKILL.md              # Required. Under 200 lines.
└── references/           # Optional. For detailed content.
    ├── api.md
    └── examples.md

Use references/ when SKILL.md exceeds 200 lines. Keep references one level deep—avoid nested file references.

Writing Descriptions

The description determines when the skill activates. Include both what it does and when to use it.

Always use third-person (the description is injected into the system prompt):

QualityExample
GoodManages GitLab MRs and pipelines via glab CLI. Load before running glab commands.
GoodAnalyzes web performance with Chrome DevTools MCP. Use when auditing page load or Lighthouse scores.
BadI help you with GitLab operations.
BadUseful for various tasks.

Include key terms users might mention: tool names, file extensions, specific operations.

Content Guidelines

Match Specificity to Task Fragility

High freedom (multiple valid approaches):

Review code for potential bugs, readability, and adherence to project conventions.

Medium freedom (preferred pattern with variation):

Use pdfplumber for text extraction. For scanned PDFs requiring OCR, use pdf2image instead.

Low freedom (fragile operations):

Run exactly: `python scripts/migrate.py --verify --backup`
Do not modify flags.

Writing Style

  • Imperative form: "Use X" not "You should use X"
  • Assume competence: Skip explanations of concepts the agent knows
  • One term, consistent: Pick "endpoint" or "route", not both
  • No time-sensitive content: Avoid "as of 2025" or "after next release"

Quick Reference Tables

For CLIs and APIs, provide lookup tables:

| Task | Command |
|------|---------|
| Check status | `glab ci status` |
| View logs | `glab ci trace <job>` |
| Retry job | `glab ci retry <job>` |

Common Patterns

Prerequisite Verification

Check requirements before proceeding:

## FIRST: Verify Installation

Run this before any commands. If it fails, STOP—this skill doesn't apply.

\`\`\`bash
glab --version
\`\`\`

Workflow Checklists

For multi-step tasks, provide a copyable checklist:

## Workflow

Copy this checklist to track progress:

\`\`\`
- [ ] Step 1: Analyze input
- [ ] Step 2: Validate mapping
- [ ] Step 3: Apply changes
- [ ] Step 4: Verify output
\`\`\`

Concrete Examples

Show input/output pairs instead of abstract descriptions:

**Input**: Added user authentication with JWT tokens
**Output**:
\`\`\`
feat(auth): implement JWT-based authentication
\`\`\`

Anti-patterns

  • Verbose explanations: Don't explain what PDFs are or how libraries work
  • Multiple options without defaults: Recommend one approach, mention alternatives briefly
  • Vague descriptions: "Helps with documents" won't activate correctly
  • Deeply nested references: SKILL.md → file.md → another.md breaks navigation
  • Magic constants: Document why values were chosen, or let the agent decide

Checklist

Before finalizing a skill:

  • Frontmatter starts on line 1 with ---
  • name is lowercase with hyphens only
  • description includes triggers AND capabilities (third-person)
  • SKILL.md is under 200 lines (use references/ if larger)
  • References are one level deep from SKILL.md
  • Imperative form throughout ("Use X" not "You should")
  • Quick reference table for any CLI/API commands
  • Prerequisite verification if skill depends on tools/config
  • No time-sensitive information
  • Tested with representative tasks

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

26.43%
按下载量换算30

OpenCode

25.66%
按下载量换算29

windsurf

17%
按下载量换算19

trae

14.2%
按下载量换算16

Codex

8.02%
按下载量换算9

Antigravity

3.88%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

继续浏览同类 Skills